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This exam measures your ability to accomplish the following technical tasks: design and implement data storage; design and develop data processing; design and implement data security; and monitor and optimize data storage and data processing.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203
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What is the cost of the Microsoft DP-203 Exam
The Microsoft DP-203 Exam cost is $165 USD.
What is Microsoft DP-203 Certification
Microsoft DP-203 (Designing Data Platform Solutions on Microsoft Azure) certification is a great way to validate your hands-on experience with cloud platforms, data architecture, and database technologies. This exam is designed to determine the competency of candidates to design distributed data solutions for enterprise applications based on Azure technologies. Before you begin studying for this exam, there are a few terms that you should familiarize yourself with. First and foremost, you should understand the difference between Microsoft SQL Server, Microsoft SQL Database, and Microsoft Azure SQL Database. Exam objectives are associated with these products; therefore, it is important to know when you will be tested on each one. Microsoft DP-203 Dumps tests a candidate's knowledge of Microsoft technologies used for building a data platform and cloud environment. Microsoft DP-203 is a certification of data engineers. The certification exam is designed to test the skills of designing, deploying, and managing Microsoft HDInsight and Microsoft Azure SQL Data Warehouse clusters for business intelligence and analytics solutions.
Microsoft DP-203 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design and implement data storage | 40–45% | - Design data storage structures
|
| Topic 2: Monitor and optimize data storage and data processing | 10–15% | - Optimize performance and cost
|
| Topic 3: Design and implement data security | 10–15% | - Implement authentication and authorization
|
| Topic 4: Design and develop data processing | 25–30% | - Design data processing pipelines
|






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